我已经创建了示例数据库
create table items (Order_date date, frame char(2) , group_name varchar(50) , order_qty int(4) , receive_qty int(4));
insert into items(Order_date , frame , group_name , order_qty ,receive_qty) values
("2021-3-10" , "am" , "books" , 4280 , 4000),
("2021-3-12" , "pm" , "notebooks" , 3259 , 3100),
("2021-3-14" , "pm" , "erasers" , 2828 , 2500),
("2021-3-15" , "am" , "books" , 3147 , 3088),
("2021-3-16" , "pm" , "notebooks" , 2897 , 2700),
("2021-3-19" , "am" , "notebooks" , 4793 , 3030),
("2021-3-21" , "pm" , "erasers" , 3317 , 3100);#查询以获得填充率
select group_name , (sum(receive_qty)/sum(order_qty)*100) as Fill_Rate
from items
group by group_name;#查询以获得帧为AM时的填充率
select group_name , (sum(receive_qty)/sum(order_qty)*100) as AM_Fill_Rate
from items
where frame = "am"
group by group_name;#查询以获得2021年3月16日的填充率
select group_name , (sum(receive_qty)/sum(order_qty)*100) as Fill_Rate_post_16Mar
from items
where Order_date >= "2021-03-16"
group by group_name;如何在单表中一次性运行Fill_Rate、AM_Fill_Rate和Fill_Rate_post_16Mar??因为我可以通过单独运行以上的3个查询来获得所有的3个查询,所以3次
请给我建议!

发布于 2021-05-14 19:25:18
select group_name ,
(sum(receive_qty)/sum(order_qty)*100) as Fill_Rate ,
(sum(case when frame = "am" then receive_qty else 0 end)/sum(case when frame = "am" then order_qty else 0 end)*100) as AM_Fill_Rate
(sum(case when Order_date >= "2021-03-16" then receive_qty else 0 end)/sum(case when Order_date >= "2021-03-16" then order_qty else 0 end)*100) as Fill_Rate_post_16Mar
from items
group by group_name;https://stackoverflow.com/questions/67539815
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